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MCS 226 Data Science and Big Data | Quick Readable Notes For IGNOU Exam

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MCS 226 Data Science and Big Data | Quick Readable Notes For IGNOU Exam

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An advanced course focusing on the principles and applications of Data Science and Big Data technologies, essential for MSc students in Computer Science.
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  • Comprehensive study of data handling, analysis, and visualization techniques.
  • Exam-focused summaries and quick revision notes.
  • Case studies on real-world applications of data science.
  • Practical applications in big data processing and analytics.
Category : MASTER‘S DEGREE PROGRAMMES
Sub Category : Master of Science (Renewable Energy and Environment) (MSCRWEE)
Products Code : MSCRWEE-MRW-S4-5.61
HSN Code : 490110
Language : English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 100-130
Weight : 157gms
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

MCS 226 Data Science and Big Data is a pivotal course designed for students pursuing the Master of Computer Science (MCS) degree. This course provides an extensive exploration of Data Science principles and Big Data technologies, focusing on data handling, analysis, machine learning algorithms, and data visualization. It covers tools and frameworks such as Hadoop, Spark, and SQL for big data processing, along with practical applications in predictive analytics, data mining, and business intelligence.

Key benefits of this course include:

  • Comprehensive Coverage: Detailed study of data science methodologies and big data technologies.
  • Practical Applications: Hands-on experience in applying data science techniques to large-scale datasets.
  • Real-World Relevance: Case studies that showcase the impact of data science in industries such as healthcare, finance, and e-commerce.
  • Exam Preparation: Includes exam-focused summaries and quick revision notes to aid students in preparing effectively for assessments.

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